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/ohos5.0/foundation/ai/neural_network_runtime/test/unittest/components/v1_0/hdi_prepared_model/
H A Dhdi_prepared_model_test.cpp94 std::vector<std::vector<int32_t>> outputsDims {{0}}; in Run() local
265 std::vector<std::vector<int32_t>> outputsDims {{0}}; variable
314 std::vector<std::vector<int32_t>> outputsDims {}; variable
326 ::testing::SetArgReferee<2>(outputsDims),
367 std::vector<std::vector<int32_t>> outputsDims {}; variable
401 std::vector<std::vector<int32_t>> outputsDims {{0}}; variable
426 std::vector<std::vector<int32_t>> outputsDims {}; in RunFail() local
655 std::vector<std::vector<int32_t>> outputsDims {}; variable
679 std::vector<std::vector<int32_t>> outputsDims {}; variable
707 std::vector<std::vector<int32_t>> outputsDims {}; variable
[all …]
/ohos5.0/foundation/ai/neural_network_runtime/test/unittest/components/v2_0/hdi_prepared_model/
H A Dhdi_prepared_model_test.cpp93 std::vector<std::vector<int32_t>> outputsDims {{0}}; in Run() local
262 std::vector<std::vector<int32_t>> outputsDims {{0}}; variable
311 std::vector<std::vector<int32_t>> outputsDims {}; variable
323 ::testing::SetArgReferee<2>(outputsDims),
363 std::vector<std::vector<int32_t>> outputsDims {}; variable
395 std::vector<std::vector<int32_t>> outputsDims {{0}}; variable
421 std::vector<std::vector<int32_t>> outputsDims {}; in RunFail() local
650 std::vector<std::vector<int32_t>> outputsDims {}; variable
674 std::vector<std::vector<int32_t>> outputsDims {}; variable
702 std::vector<std::vector<int32_t>> outputsDims {}; variable
[all …]
/ohos5.0/foundation/ai/neural_network_runtime/test/unittest/components/v2_1/hdi_prepared_model/
H A Dhdi_prepared_model_test.cpp93 std::vector<std::vector<int32_t>> outputsDims {{0}}; in Run() local
263 std::vector<std::vector<int32_t>> outputsDims {{0}}; variable
312 std::vector<std::vector<int32_t>> outputsDims {}; variable
324 ::testing::SetArgReferee<2>(outputsDims),
364 std::vector<std::vector<int32_t>> outputsDims {}; variable
396 std::vector<std::vector<int32_t>> outputsDims {{0}}; variable
420 std::vector<std::vector<int32_t>> outputsDims {}; in RunFail() local
649 std::vector<std::vector<int32_t>> outputsDims {}; variable
673 std::vector<std::vector<int32_t>> outputsDims {}; variable
701 std::vector<std::vector<int32_t>> outputsDims {}; variable
[all …]
/ohos5.0/docs/zh-cn/device-dev/reference/hdi-apis/nnrt/
H A Dinterface_i_prepared_model_v10.md21 …s, [in] struct [IOTensor](_i_o_tensor_v10.md)[] outputs, [out] int[][] outputsDims, [out] boolean[…
54 …n] struct IOTensor[] inputs, [in] struct IOTensor[] outputs, [out] int outputsDims[][], [out] bool…
68 | outputsDims | 模型推理输出数据的形状，输出顺序与outputs顺序一一对应。 |
H A Dinterface_i_prepared_model_v20.md24 … inputs, [in] struct [IOTensor](_i_o_tensor_v20.md)[] outputs, [out] int[][] outputsDims) | 推理模型 |
86 …el::Run ([in] struct IOTensor[] inputs, [in] struct IOTensor[] outputs, [out] int outputsDims[][] )
102 | outputsDims | 模型推理输出数据的形状，输出顺序与outputs顺序一一对应。 |
/ohos5.0/foundation/ai/neural_network_runtime/frameworks/native/neural_network_runtime/
H A Dhdi_prepared_model_v1_0.cpp210 std::vector<std::vector<int32_t>>& outputsDims, std::vector<bool>& isOutputBufferEnough) in Run() argument
233 …auto ret = m_hdiPreparedModel->Run(iInputTensors, iOutputTensors, outputsDims, isOutputBufferEnoug… in Run()
234 if (ret != HDF_SUCCESS || outputsDims.empty()) { in Run()
243 const std::vector<NN_Tensor*>& outputs, std::vector<std::vector<int32_t>>& outputsDims, in Run() argument
275 …auto ret = m_hdiPreparedModel->Run(iInputTensors, iOutputTensors, outputsDims, isOutputBufferEnoug… in Run()
276 if (ret != HDF_SUCCESS || outputsDims.empty()) { in Run()
H A Dhdi_prepared_model_v2_0.cpp210 std::vector<std::vector<int32_t>>& outputsDims, std::vector<bool>& isOutputBufferEnough) in Run() argument
233 auto ret = m_hdiPreparedModel->Run(iInputTensors, iOutputTensors, outputsDims); in Run()
237 if (outputsDims.empty()) { in Run()
246 const std::vector<NN_Tensor*>& outputs, std::vector<std::vector<int32_t>>& outputsDims, in Run() argument
278 auto ret = m_hdiPreparedModel->Run(iInputTensors, iOutputTensors, outputsDims); in Run()
282 if (outputsDims.empty()) { in Run()
H A Dhdi_prepared_model_v2_1.cpp210 std::vector<std::vector<int32_t>>& outputsDims, std::vector<bool>& isOutputBufferEnough) in Run() argument
233 auto ret = m_hdiPreparedModel->Run(iInputTensors, iOutputTensors, outputsDims); in Run()
237 if (outputsDims.empty()) { in Run()
246 const std::vector<NN_Tensor*>& outputs, std::vector<std::vector<int32_t>>& outputsDims, in Run() argument
278 auto ret = m_hdiPreparedModel->Run(iInputTensors, iOutputTensors, outputsDims); in Run()
282 if (outputsDims.empty()) { in Run()
H A Dnnexecutor.cpp280 std::vector<std::vector<int32_t>> outputsDims; in RunSync() local
283 …ret = m_preparedModel->Run(inputTensorsVec, outputTensorsVec, outputsDims, isSufficientDataBuffer); in RunSync()
291 if (outputsDims.size() != outputSize) { in RunSync()
302 ret = nnTensorDesc->SetShape(outputsDims[i].data(), outputsDims[i].size()); in RunSync()
308 ret = m_outputTensorDescs[i].first->SetShape(outputsDims[i].data(), outputsDims[i].size()); in RunSync()
989 std::vector<std::vector<int32_t>> outputsDims; in Run() local
991 … ret = m_preparedModel->Run(inputIOTensors, outputIOTensors, outputsDims, isSufficientDataBuffer); in Run()
999 if (outputsDims.size() != outputSize) { in Run()
1004 ret = outputTensors[i]->SetDimensions(outputsDims[i]); in Run()
1009 ret = m_outputTensorDescs[i].first->SetShape(outputsDims[i].data(), outputsDims[i].size()); in Run()
H A Dprepared_model.h35 std::vector<std::vector<int32_t>>& outputsDims,
40 std::vector<std::vector<int32_t>>& outputsDims,
H A Dhdi_prepared_model_v1_0.h42 std::vector<std::vector<int32_t>>& outputsDims,
47 std::vector<std::vector<int32_t>>& outputsDims,
H A Dhdi_prepared_model_v2_0.h43 std::vector<std::vector<int32_t>>& outputsDims,
48 std::vector<std::vector<int32_t>>& outputsDims,
H A Dhdi_prepared_model_v2_1.h43 std::vector<std::vector<int32_t>>& outputsDims,
48 std::vector<std::vector<int32_t>>& outputsDims,
/ohos5.0/foundation/ai/neural_network_runtime/test/unittest/common/v1_0/
H A Dexecutor_mock_device.cpp58 std::vector<std::vector<int32_t>>& outputsDims, std::vector<bool>& isOutputBufferEnough) in Run() argument
70 outputsDims.emplace_back(outputs[0].dimensions); in Run()
/ohos5.0/foundation/ai/neural_network_runtime/test/unittest/common/v2_0/
H A Dexecutor_mock_device.cpp66 std::vector<std::vector<int32_t>>& outputsDims, std::vector<bool>& isOutputBufferEnough) in Run() argument
78 outputsDims.emplace_back(outputs[0].dimensions); in Run()
/ohos5.0/foundation/ability/idl_tool/test/hdi_unittest/nnrt_v1_0/cpp_target/nnrt/v1_0/
H A Dprepared_model_proxy.cpp.txt62 …DI::Nnrt::V1_0::IOTensor>& outputs, std::vector<std::vector<int32_t>>& outputsDims, std::vector<bo…
64 …return OHOS::HDI::Nnrt::V1_0::PreparedModelProxy::Run_(inputs, outputs, outputsDims, isOutputBuffe…
121 …DI::Nnrt::V1_0::IOTensor>& outputs, std::vector<std::vector<int32_t>>& outputsDims, std::vector<bo…
177 outputsDims.clear();
178 outputsDims.reserve(outputsDimsSize);
185 outputsDims.push_back(value0);
H A Dprepared_model_stub.cpp.txt187 std::vector<std::vector<int32_t>> outputsDims;
195 outputsDims.reserve(capacity);
214 int32_t preparedModelRet = impl->Run(inputs, outputs, outputsDims, isOutputBufferEnough);
220 if (!preparedModelReply.WriteUint32(outputsDims.size())) {
221 HDF_LOGE("%{public}s: write outputsDims size failed!", __func__);
224 for (const auto& it0 : outputsDims) {
H A Dprepared_model_proxy.h.txt41 …DI::Nnrt::V1_0::IOTensor>& outputs, std::vector<std::vector<int32_t>>& outputsDims, std::vector<bo…
49 …DI::Nnrt::V1_0::IOTensor>& outputs, std::vector<std::vector<int32_t>>& outputsDims, std::vector<bo…
/ohos5.0/foundation/ai/neural_network_runtime/example/drivers/nnrt/v1_0/hdi_cpu_service/include/
H A Dprepared_model_service.h47 … std::vector<std::vector<int32_t>>& outputsDims, std::vector<bool>& isOutputBufferEnough) override;
56 std::vector<std::vector<int32_t>>& outputsDims, std::vector<bool>& isOutputBufferEnough);
/ohos5.0/foundation/ai/neural_network_runtime/example/drivers/nnrt/v2_0/hdi_cpu_service/include/
H A Dprepared_model_service.h47 std::vector<std::vector<int32_t>>& outputsDims) override;
59 std::vector<std::vector<int32_t>>& outputsDims, bool& isOutputBufferEnough);
/ohos5.0/foundation/ai/neural_network_runtime/example/drivers/nnrt/v1_0/hdi_cpu_service/src/
H A Dprepared_model_service.cpp94 std::vector<std::vector<int32_t>>& outputsDims, std::vector<bool>& isOutputBufferEnough) in Run() argument
118 ret = UpdateOutput(outputs, outputsDims, isOutputBufferEnough); in Run()
131 std::vector<std::vector<int32_t>>& outputsDims, std::vector<bool>& isOutputBufferEnough) in UpdateOutput() argument
141 outputsDims.emplace_back(msShape.begin(), msShape.end()); in UpdateOutput()
/ohos5.0/foundation/ai/neural_network_runtime/example/drivers/nnrt/v2_0/hdi_cpu_service/src/
H A Dprepared_model_service.cpp97 std::vector<std::vector<int32_t>>& outputsDims) in Run() argument
122 ret = UpdateOutput(outputs, outputsDims, isOutputBufferEnough); in Run()
173 std::vector<std::vector<int32_t>>& outputsDims, bool& isOutputBufferEnough) in UpdateOutput() argument
182 outputsDims.emplace_back(msShape.begin(), msShape.end()); in UpdateOutput()
/ohos5.0/foundation/ai/neural_network_runtime/example/deep_learning_framework/tflite/tools/
H A Dutils.cpp135 TfLiteIntArray* outputsDims = interpreter->tensor(output_index)->dims; in PrintResult() local
136 int32_t dimSize = outputsDims->size; in PrintResult()
139 outputTensorSize *= outputsDims->data[i]; in PrintResult()
/ohos5.0/drivers/interface/nnrt/v1_0/
H A DIPreparedModel.idl23 [out] int[][] outputsDims, [out] boolean[] isOutputBufferEnough);
/ohos5.0/foundation/ability/idl_tool/test/hdi_unittest/nnrt_v1_0/foo/nnrt/v1_0/
H A DIPreparedModel.idl23 [out] int[][] outputsDims, [out] boolean[] isOutputBufferEnough);

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